Director of Quantitative Equity Research

This position has responsibility for setting the research agenda for quantitative equity, including thought leadership in quantitative research, investment ideas, and portfolio design for Voya Investment Management (Voya IM). With a strong background in technical computing and statistics, you will be responsible for accelerating the development and design of new quantitative research and strategies. This will include empirical research into U.S. and global equity market inefficiencies. Must be familiar with fundamental, expectational and market data, have a solid knowledge of asset pricing literature, and strong programming skills. The individual will represent the views of the team across the firm and to the industry at large.

Your Responsibilities:

• As the senior member of our quantitative research team, you will oversee the design and development of equity investment models by identifying novel investment ideas and new data sources from academia, professional publications, fundamental equity analysts, and peer review.
• Represent Quantitative Equity and Voya IM externally (conferences, client meetings, etc.) as an industry authority on customized quantitative solutions to drive business growth in the institutional space.
• Create thought leadership content: white papers, investment commentary, product positioning, publication in industry journals, etc.
• Work with quant leadership and product team to develop and implement innovative strategies, products and solutions.
• Analyze quantitative portfolios to create actionable recommendations to capture quantitative insights, refine the portfolio construction process, and attribute portfolio return.

Who is our ideal candidate?

• 10+ years of experience in quantitative equity research.
• Excellent quantitative skills, with an accomplished background in economics, finance, engineering, computer science, or another quantitative discipline. PhD or other advanced degree a plus.
• Knowledge of advanced statistical and modeling techniques (i.e. LASSO, Random Forest), unsupervised learning, etc. Experience with alternative data a plus.
• Strong programming skills, with experience using a structured programming language and/or statistics package.
• A thought leader with excellent communication skills, including the ability to effectively articulate complex financial and mathematical concepts to a variety of audiences.
• Expert-level knowledge of market trends and challenges facing institutional clients.
• Independent thinker with good economic intuition and demonstrated record of original research.
• Inventive problem solver who can conceptualize solutions and drive execution within Voya Investment Management.
• Teamwork-oriented collaborator and leader who can build consensus around complex and fluid issues.